Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus

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Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control

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Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review

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Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis

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Improved Glycemic Control in Poorly Controlled Patients with Type 1 Diabetes Using Real-Time Continuous Glucose Monitoring

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Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association

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Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity

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Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines

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Standards of Medical Care in Diabetes—2016: Summary of Revisions

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Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes

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Improvement in Glycemic Excursions With a Transcutaneous, Real-Time Continuous Glucose Sensor

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Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older

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Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

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Evidence-Based Strategies in Weight-Loss Mobile Apps

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Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis

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Diabetes prevention and weight loss with a fully automated behavioral intervention by email, web, and mobile phone: a randomized controlled trial among persons with prediabetes

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Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes

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Glycaemic control and severe hypoglycaemia following training in flexible, intensive insulin therapy to enable dietary freedom in people with type 1 diabetes: a prospective implementation study

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A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

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A Novel Diabetes Prevention Intervention Using a Mobile App

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DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients

Waki, K., Fujita, H., Uchimura, Y., Omae, K., Aramaki, E., Kato, S., Lee, H., Kobayashi, H., Kadowaki, T., & Ohe, K. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814526495 · Cited by 203 · see citing works

The Lifetime Cost of Diabetes and Its Implications for Diabetes Prevention

Zhuo, X., Zhang, P., Barker, L. E., Albright, A. L., Thompson, T. J., & Gregg, E. W. (2014) · Diabetes Care · doi:10.2337/dc13-2484 · Cited by 201 · see citing works

Using an electronic activity monitor system as an intervention modality: A systematic review

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Web-based interventions for the management of type 2 diabetes mellitus: A systematic review of recent evidence

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Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology

Svetkey, L. P., Batch, B. C., Lin, P., Intille, S. S., Corsino, L., Tyson, C. C., Bosworth, H. B., Grambow, S. C., Voils, C. I., Loria, C. M., et al. (2015) · Obesity · doi:10.1002/oby.21226 · Cited by 160 · see citing works

Reduction in Hemoglobin A1c with Real-Time Continuous Glucose Monitoring: Results from a 12-Week Observational Study

Bailey, T. S., Zisser, H. C., & Garg, S. K. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2007.0205 · Cited by 159 · see citing works

The Comparison of a Technology‐Based System and an In‐Person Behavioral Weight Loss Intervention

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A systematic review and meta-analysis of interventions for weight management using text messaging

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Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study

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Racial and Ethnic Disparities among Enrollees in Medicare Advantage Plans

Ayanian, J. Z., Landon, B. E., Newhouse, J. P., & Zaslavsky, A. M. (2014) · New England Journal of Medicine · doi:10.1056/nejmsa1407273 · Cited by 130 · see citing works

Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study

Årsand, E., Mužný, M., Bradway, M., Mužík, J., & Hartvigsen, G. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814567708 · Cited by 130 · see citing works

External Barriers to Diabetes Care: Addressing Personal and Health Systems Issues

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GLP-1 and Amylin in the Treatment of Obesity

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Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

Rhyner, D., Loher, H., Dehais, J., Anthimopoulos, M., Shevchik, S. A., Botwey, R. H., Duke, D. L., Stettler, C., Diem, P., & Mougiakakou, S. G. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5567 · Cited by 117 · see citing works

Erratum: Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology

Svetkey, L. P., Batch, B. C., Lin, P., Intille, S. S., Corsino, L., Tyson, C. C., Bosworth, H. B., Grambow, S. C., Voils, C. I., Loria, C. M., et al. (2016) · Obesity · doi:10.1002/oby.21433 · Cited by 106 · see citing works

Physical activity, sedentary behavior and total wellness changes among sedentary adults: a 4-week randomized controlled trial

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What works for obesity prevention and treatment in black A mericans? Research directions

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Flexible eating and flexible insulin dosing in patients with diabetes: Results of an intensive self-management course

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Managing diabetes in the digital age

Shah, V. N., & Garg, S. K. (2015) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-015-0016-2 · Cited by 86 · see citing works

Evolution of Data Management Tools for Managing Self-Monitoring of Blood Glucose Results: A Survey of iPhone Applications

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Efficacy of the Smartphone-Based Glucose Management Application Stratified by User Satisfaction

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Patterns of Impact Resulting from a ‘Sit Less, Move More’ Web-Based Program in Sedentary Office Employees

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Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes

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Designing mobile support for glycemic control in patients with diabetes

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Use of Commonly Available Technologies for Diabetes Information and Self-Management Among Adolescents With Type 1 Diabetes and Their Parents: A Web-Based Survey Study

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DialBetics With a Multimedia Food Recording Tool, FoodLog

Waki, K., Aizawa, K., Kato, S., Fujita, H., Lee, H., Kobayashi, H., Ogawa, M., Mouri, K., Kadowaki, T., & Ohe, K. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815579690 · Cited by 48 · see citing works

A Systematic and Integrated Review of Mobile-Based Technology to Promote Active Lifestyles in People With Type 2 Diabetes

McMillan, K. A., Kirk, A. F., Hewitt, A., & MacRury, S. M. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816656018 · Cited by 48 · see citing works

Community Engagement to Optimize the Use of Web-Based and Wearable Technology in a Cardiovascular Health and Needs Assessment Study: A Mixed Methods Approach

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Contracting and Monitoring Relationships for Adolescents with Type 1 Diabetes: A Pilot Study

Carroll, A. E., DiMeglio, L. A., Stein, S., & Marrero, D. G. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2010.0181 · Cited by 46 · see citing works

Mobile App to Reduce Inactivity in Sedentary Overweight Women

Finkelstein, J., Bedra, M., Li, X., Jeffrey, W., & Ouyang, P. (2015) · Studies in health technology and informatics · doi:10.3233/978-1-61499-564-7-89 · Cited by 43 · see citing works

Comparative Study of the Routine Daily Usability of FoodLog

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Demographic and Health Related Data of Users of a Mobile Application to Support Drug Adherence is Associated with Usage Duration and Intensity

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Prevalence of and Racial Disparities in Risk Factor Control in Older Adults With Diabetes: The Atherosclerosis Risk in Communities Study

Parrinello, C. M., Rastegar, I., Godino, J., Miedema, M. D., Matsushita, K., & Selvin, E. (2015) · Diabetes Care · doi:10.2337/dc15-0016 · Cited by 38 · see citing works

The Online Journal of Nursing Informatics (OJNI)

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Continuous glucose monitoring: current clinical use

Kim, H., Shin, J., Chang, J., Cho, J., Son, H., & Yoon, K. (2012) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2346 · Cited by 30 · see citing works

A Review of Community-Based Participatory Research Studies to Promote Physical Activity Among African Americans

Coughlin, S. S., & Smith, S. A. (2016) · Journal of the Georgia Public Health Association · doi:10.20429/jgpha.2016.050305 · Cited by 28 · see citing works

Is a Picture Worth a Thousand Words? Few Evidence-Based Features of Dietary Interventions Included in Photo Diet Tracking Mobile Apps for Weight Loss

Hales, S. B., Dunn, C. G., Wilcox, S., & Turner‐McGrievy, G. M. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816651451 · Cited by 25 · see citing works

Helicobacter pylori Infection Decreases Metformin Tolerance in Patients with Type 2 Diabetes Mellitus

Huang, Y., Sun, J., Wang, X., Tao, X., Wang, H., & Tan, W. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0203 · Cited by 24 · see citing works

DialBetics: Smartphone-Based Self-Management for Type 2 Diabetes Patients

Waki, K., Fujita, H., Uchimura, Y., Aramaki, E., Omae, K., Kadowaki, T., & Ohe, K. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600433 · Cited by 20 · see citing works

Access to and Interest in Using Smartphone Technology for the Management of Type 1 Diabetes in Ethnic Minority Adolescents and Their Parents

George, S. M. S., Delamater, A. M., Pulgarón, E. R., Daigre, A. L., & Sanchez, J. E. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0086 · Cited by 18 · see citing works

Use of self-monitoring tools in a clinic sample of adults with type 2 diabetes

Tanenbaum, M. L., Bhatt, H. B., Thomas, V. A., & Wing, R. R. (2016) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0418-4 · Cited by 17 · see citing works

Use of Gaming in Self-Management of Diabetes in Teens

Swartwout, E., El-Zein, A., Deyo, P., Sweenie, R., & Streisand, R. M. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0754-2 · Cited by 16 · see citing works

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD

Park, H.-S., Cho, H., & Kim, H. S. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.2.83 · Cited by 12 · see citing works

Mobile applications for people with diabetes published between 2010 and 2015

Issom, D.-Z., Woldaregay, A. Z., Chomutare, T., Bradway, M., Årsand, E., & Hartvigsen, G. (2015) · Diabetes Management · doi:10.2217/dmt.15.40 · Cited by 10 · see citing works

An exploration of the potential reach of smartphones in diabetes.

Blondon, K., Hebert, P. L., & Ralston, J. D. (2014) · PubMed Central · Cited by 9 · see citing works

133. Bant: An mHealth App for Adolescent Type I Diabetes – A Pilot Study

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Implementation of a Mobile Application to Promote Self-care in Elder Diabetic Patients

Borrero, A. F., Vasques, J. S. D. S., & Vargas-Cañas, R. (2015) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-13117-7_203 · Cited by 8 · see citing works

Structured Feedback in the Development of the First Educational Smartphone Application (Pumps4Kids) for Insulin Pump Starts

Hawkes, C. P., Hindmarsh, P. C., McCarthy, M. E., & O'Riordan, S. (2013) · UCL Discovery (University College London) · Cited by 1 · see citing works

Use of Smartphone, a Cellular Glucometer and Social Media App in the Management of Type 1 DM in the Adolescent Population: The Future of Diabetes Care

Rothenberg, R., Zetelski, M., Sivitz, J., Klein, G. W., Chartoff, A., Pearson, J., Post, J., Cohen, A., Aisenberg, J. E., & Ghanny, S. (2015) · 54th ESPE Meeting (ESPE 2015) · Cited by 1 · see citing works

Content Analysis of Mobile Health Applications on Diabetes Mellitus

Izahar, S., Lean, Q. Y., Hameed, M. A., Murugiah, M. K., Patel, R. P., Al‐Worafi, Y. M., Wong, T. W., & Ming, L. C. (2017) · Frontiers in Endocrinology · doi:10.3389/fendo.2017.00318 · Cited by 371 · see citing works

Advances in the Management of Diabetes Mellitus: A Focus on Personalized Medicine

Sugandh, F., Chandio, M., Raveena, F., Kumar, L., Karishma, F., Khuwaja, S., Memon, U. A., Bai, K., Kashif, M., Varrassi, G., et al. (2023) · Cureus · doi:10.7759/cureus.43697 · Cited by 275 · see citing works

ISPAD Clinical Practice Consensus Guidelines 2018: diabetes technologies

Sherr, J. L., Tauschmann, M., Battelino, T., de Bock, M., Forlenza, G., Roman, R., Hood, K. K., & Maahs, D. M. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12731 · Cited by 197 · see citing works

Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)

Ahmad, A., Rasul, T., Yousaf, A., & Zaman, U. (2020) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc6030081 · Cited by 120 · see citing works

Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review

Najm, A., Gossec, L., Wéill, C., Benoist, D., Berenbaum, F., & Nikiphorou, E. (2019) · JMIR mhealth and uhealth · doi:10.2196/14730 · Cited by 98 · see citing works

Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges

El–Sappagh, S., Ali, F., El‐Masri, S., Kim, K. H., Ali, A., & Kwak, K. S. (2018) · IEEE Access · doi:10.1109/access.2018.2881001 · Cited by 59 · see citing works

Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers

Kim, S., & Choudhury, A. (2020) · JMIR mhealth and uhealth · doi:10.2196/18312 · Cited by 59 · see citing works

Barriers and facilitators to taking on diabetes self-management tasks in pre-adolescent children with type 1 diabetes: a qualitative study

Rankin, D., Harden, J., Barnard-Kelly, K. D., Bath, L., Noyes, K., Stephen, J., & Lawton, J. (2018) · BMC Endocrine Disorders · doi:10.1186/s12902-018-0302-y · Cited by 52 · see citing works

Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals

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Social Inequality and Diabetes: A Commentary

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Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review

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Changes in Quality of life Outcomes of Patients with HIV/AIDS Under a Theory-based Mobile Health Intervention

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Contouring a User Centered Chatbot for Diabetes Mellitus

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Tele-, Mobile- and Web-Based Technologies in Cardiovascular Medicine

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Uso de tecnologías de información y comunicación para promover la autogestión de ulceras por pie diabético

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The effect of distance education on health beliefs, self-efficacy, and healthy lifestyle behaviours of people with diabetes: A randomised controlled trial

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Personalized medicine as a novel therapeutic approach for autoimmune diseases: new insights and future prospects

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Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking

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mHealth Technologies in Pre-Diabetes and Diabetes Care

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